Software test engineer jobs in Milpitas, CA - 9,554 jobs

A leading technology company is seeking a Machine Learning Validation Automation Engineer in Cupertino, CA. In this role, you will design and implement data collection and evaluation pipelines for machine learning systems. The ideal candidate has a Bachelor's degree in Computer Science, at least 3 years of industry experience with ML systems, and proficiency in Python. This position offers competitive pay between $147,400 and $272,100, rich benefits, and opportunities for professional development. Join us to shape the future of Apple's user experiences. #J-18808-Ljbffr

A leading technology company is seeking a Principal / Senior GPU Software Performance Engineer in San Jose, CA. This role involves optimizing GPU workloads for training performance, enhancing throughput, and resolving bottlenecks in distributed systems. The ideal candidate will have strong skills in GPU performance engineering and experience with deep learning frameworks, particularly PyTorch. This position offers a chance to work in a collaborative environment focused on innovation and inclusivity. #J-18808-Ljbffr

Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquarters in Wolfsburg, Germany is one of the world's leading automobile manufacturers and the largest carmaker in Europe. The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN. Brief Role Description At the Innovation & Engineering Center California (IECC), we represent the Volkswagen Group in applied research and development. Located in the heart of Silicon Valley, we create bold new ideas for the Volkswagen, Audi, Bentley, Lamborghini, Bugatti and Porsche brands. We're a team of engineers, designers, scientists, and psychologists looking to develop innovations for future generations of cars, and to transfer technologies from many industries and research institutions into the automotive domain. Our mission is to drive change which means we are not only impacting one of the world's largest car makers, but also the lives of millions of people. Are you ready to join us? Role Summary The Virtual Test Engineer will own the end‑to‑end test engineering for virtual ECUs-from V‑ECU creation (AUTOSAR Classic/Adaptive) and restbus/environment modeling, to deterministic simulation, fault injection, conformance, diagnostics/flash, and scalable CI execution. You will build and operate a virtual test platform that exercises production software stacks (communication, diagnostics, safety/security, OTA readiness) with measurable coverage and release‑grade. You partner with software, systems, safety, cybersecurity, HIL, and OTA teams to ensure the virtual pipeline finds defects earlier than HIL/vehicle, at fleet scale. The position will be a member of the worldwide connectivity technical team and interfaces with multiple stakeholders of VW Group's technical team members. This position investigates and develops new architectures for connected systems targeted to the US market. Role Responsibilities Operational Management - (35%) Ownership of Virtual Test topics in NAR markets Own the relationship with network operator, contract manufacturer, platform provider and lead strategic discussions and technical negotiations. Serve as technical authority for V‑ECU testing; mentor engineers in XiL best practices, determinism, and modeling trade‑offs. Drive supplier alignment (Tier‑1/2) for virtual deliverables (V‑ECU packages, ARXML/ODX/OTX, service catalogs, security plugins). Conduct design/test reviews, DFMEA/FMEA, and lead 8D on defects discovered in SIL with crisp reproduction artifacts. V‑ECU Build & Simulation Architecture - (35%) Define the V‑ECU generation strategy for AUTOSAR Classic (RTE + BSW abstraction, virtual MCAL stubs) and Adaptive (POSIX targets, ara::com SOME/IP bindings), including OS abstraction, timers, time‑warp, and determinism controls. Select and integrate V‑ECU platforms (e.g., dSPACE VEOS/SystemDesk, Vector vVIRTUALtarget/CANoe4SW Server, ETAS COSYM/ASCET, AVL VIRTUAL TESTBED, Wind River Simics, Imperas/OVPsim, QEMU/Renode‑based flows) and manage tool qualification where applicable. Establish co‑simulation topologies: MIL/Plant models (Simulink/Modelica/FMU/FMI), bus/network simulators, and virtualization of sensors/actuators with IO semantics and timing fidelity. Communication, Diagnostics & Flashing in SIL - (10%) Model and validate Automotive Ethernet stacks: SOME/IP & SOME/IP‑SD, DoIP, AVB/TSN where applicable; simulate VLAN/QoS and congestion scenarios. Exercise CAN/CAN‑FD, LIN, FlexRay via restbus simulations; verify UDS services, ISO‑TP segmentation and XCP/CCP measurement/calibration flows. Implement DoIP‑routed UDS flashing in SIL with eligibility/state checks, A/B or recovery slots, anti‑rollback, and bootloader handshake emulation (timings, NRCs). Develop restbus models for gateways, sensors, actuators, and peer ECUs using Vector CANoe/CAPL (incl. CANoe4SW Server), Python, and co‑simulation bridges. Build service catalogs and SOME/IP service mocks, including late‑joiner/re‑announce behaviors and instance collision tests; emulate SecOC/E2E protections. Create plant models (Simulink/Modelica, FMU/FMI) for closed‑loop testing of control functions; parameterize with production DBC/ARXML/LDF. Execute fault campaigns: bus saturation, frame loss/reordering, clock drift, time sync perturbations (gPTP), power cycles/brown‑outs (virt), memory pressure, and network fuzzing (UDS/DoIP/SOME‑IP). Apply protocol fuzzing (boofuzz, Scapy, Peach, AFL++ harnesses), mutation testing, and error seeding to validate diagnostic/communication hardening. Model electrical transients (ISO 7637‑2, load dump) effects at the software boundary and verify recovery logic within the V‑ECU. Architect headless SIL farms (Docker/K8s runners, epoxy test environments) executing parallel suites (thousands of SIL testcases per commit/nightly). Integrate CI/CD (Jenkins/GitLab/Azure DevOps), artifact management (SBOM: SPDX/CycloneDX), test results (JUnit/Allure), and flaky test quarantine + triage dashboards. Implement golden capture/compare pipelines (PCAP/MDF4/CSV) and scenario versioning (OpenSCENARIO/OpenDRIVE/ASAM OSI if AD/ADAS is in scope). Qualification requirements Skills Requirements: Excellent strategically thinking and communication skills. Analytical and conceptual thinking Experience in developing strategies for R&D Communication skills - interpersonal, presentation and written Integration - joining people, processes or systems Influencing and negotiation skills Strategic/visionary minded Resource management Specialized Skills Required Knowledge of communication HW & SW architecture and hardware development processes. Excellent communication; proven cross‑functional leadership across hardware, software, cloud, manufacturing, compliance, and program management. Deep understanding of typical vehicle EE architectures and automotive development processes. Deep expertise in SOME/IP/SOME‑IP‑SD, DoIP, UDS/ISO‑TP, CAN/CAN‑FD/LIN, and restbus modeling; hands‑on with ODX/OTX and XCP. Proven delivery of CI‑scale virtual test grids (parallel headless execution, artifacted evidence, flake management). Strong command of coverage engineering (MC/DC, model & code coverage), fault injection/fuzzing, and performance/timing analysis in virtual environments. Demonstrated experience with MISRA, static analysis, sanitizers, and traceability (Polarion/Codebeamer). Networks & Middleware (experience with any of) : Automotive Ethernet: SOME/IP & SOME‑IP‑SD, DoIP, TSN/AVB, VLAN/QoS Diagnostics: UDS, ODX/OTX authoring/automation; XCP/CCP (ASAM), DIDs, routines, DTC handling Security (where applicable): SecOC (AUTOSAR), TLS/mTLS, E2E protection profiles V‑ECU Platforms & Co‑Sim (experience with any of) : Tools (any mix): dSPACE, Vector vVIRTUALtarget / CANoe4SW Server, ETAS COSYM, AVL VIRTUAL TESTBED, Imperas/OVPsim, QEMU/Renode Restbus, Test Authoring & Automation (experience with any of) : Vector: CANoe/CANalyzer/CANape, vTESTstudio, CAPL; CANoe4SW Server for headless SIL Python (python‑can, scapy, pyshark, pyvisa), Robot Framework, pytest, gRPC/REST harnesses Coverage, Analysis & Observability (experience with any of) : V‑ECU generation using VEOS/SystemDesk, vVIRTUALtarget/CANoe4SW, or COSYM; co‑sim with FMU/FMI and plant models. TSN budget analysis (gPTP domains, Qav/Qbv scheduling) for AV/service traffic in SIL. Virtual UDS flashing including A/B slots and anti‑rollback; security hardening (SecOC, TLS/mTLS) validated in SIL. Experience scaling SIL in Kubernetes with observability (OpenTelemetry + ELK/Grafana) and SBOM/attestation in release flow. Knowledge of VW Group product design requirements, Programming experience with the languages C, C++, Java, Python, and script languages. Additional Required Qualifications Years of Required Experience 7+ years of hardware or software development experience for connectivity functions in a vehicle manufacturer or supplier 5+ years of working in automotive projects including communication technology, ADAS or automation Education Requirements: Required BS in Engineering MS and/or PhD in Engineering Work Flexibility: Accommodation for working time zone differences between international locations as needed Travel is estimated to be 10%. Role requires flexibility in daily schedule, including early morning meetings with Europe, afternoons/evenings for the US West Coast or Asia Travel is expected regularly to local development teams and partners Compensation Data Salary is determined by geographical location and adjusted accordingly. In Silicon Valley, the expected base salary range is between $160,000 - $175,000. Other benefits for this position include: · Eligibility for annual performance bonus · Healthcare benefits · 401(k), with company match · Defined contribution retirement program. · Tuition reimbursement · Company lease car program · Paid time off Volkswagen Group of America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity /expression, marital status, veteran status, or any other characteristics protected by applicable laws. This role description is a guideline and does not create contractual rights between the Company and any of its applicants. The Company does not enter into any type of employment contract, implied or written, with its applicants regarding job security. This Organization participates in E-Verify. We maintain a drug free workplace and perform pre‑employment substance abuse testing. Job ID: 19917 Company: Volkswagen Group of America, Inc. Location: Belmont, CA, US, 94002 Department: Research and Development Working Model: Full-time Contract Type: Unlimited Remote Working: Up to 40% Join the New Volkswagen team. If you aspire to be part of the mobility of the future, Volkswagen is for you. We are the ideal match for people with a passion for innovation, oriented to achieve sustainable results, and who can work in a team generating positive and collaborative work environments. Here is your next challenge. Founded in 1955, Volkswagen of America, Inc., an operating unit of Volkswagen Group of America, Inc. (VWoA) is headquartered in Reston, Virginia. It is a subsidiary of Volkswagen AG, headquartered in Wolfsburg, Germany. VWoA's operations in the United States include research and development, parts and vehicle processing, parts distribution centers, sales, marketing and service offices, financial service centers, and its stateof-theart manufacturing facility in Chattanooga, Tennessee. #J-18808-Ljbffr

A global technology company is seeking a Senior Cloud Scale Test Engineer to lead the design and development of innovative cloud-based solutions. You will be responsible for managing complex products and collaborating with various stakeholders to ensure efficient deployment and support. The ideal candidate has a strong programming background, solid experience with microservices and Kubernetes, and a passion for cloud technologies. Join a team focused on driving innovation while supporting your professional growth. #J-18808-Ljbffr

A pioneering robotics company in California is seeking a Senior Automation and Controls Engineer to design and implement innovative robotic automation systems. The role requires collaboration with robotics engineers and a strong understanding of industrial protocols. Candidates should have a degree in engineering and at least 3 years of relevant experience. The position offers a competitive salary range of $100,000 - $300,000 USD based on experience. #J-18808-Ljbffr

Why Oracle Join a team at the forefront of automation and IoT innovation within Oracle's global engineering organization. You'll have the opportunity to shape next-generation factory robotics capabilities, work with cutting-edge cloud technologies, and deliver solutions that transform how organizations operate their most critical systems. Oracle is seeking an experienced Robotics & Web Automation Engineer to help drive the next generation of intelligent factory automation. In this role, you will design, program, and optimize industrial robotic systems while integrating them into Oracle's IoT platform for advanced remote monitoring, control, and data insights. You will work closely with automation engineers, software developers, and cloud teams to deliver highly reliable, scalable, and secure automation solutions for manufacturing environments. Key Responsibilities Program, configure, and deploy industrial robots, including KUKA, FANUC, and ABB platforms, to support automated workflows. Design and implement PLC logic and controls architectures to ensure safe and efficient robotic operations. Develop scripts, tooling, and automation solutions in Python or JavaScript to enhance robot performance, diagnostics, and system integrations. Connect factory automation systems into Oracle's IoT services for remote monitoring, predictive maintenance, telemetry, and analytics. Collaborate with cross-functional engineering teams to troubleshoot issues, improve automation uptime, and optimize robotic performance. Support development of remote management frameworks allowing customers to securely monitor and update robot configurations. Document technical workflows, provide engineering insights, and participate in continuous improvement efforts. Qualifications Disclaimer Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only. US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: Medical, dental, and vision insurance, including expert medical opinion Short term disability and long term disability Life insurance and AD&D Supplemental life insurance (Employee/Spouse/Child) Health care and dependent care Flexible Spending Accounts Pre-tax commuter and parking benefits 401(k) Savings and Investment Plan with company match Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 11 paid holidays Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. Paid parental leave Adoption assistance Employee Stock Purchase Plan Financial planning and group legal Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Required Qualifications Hands-on experience with robot programming for at least one major industrial platform (KUKA, FANUC, ABB); multi-platform experience strongly preferred. Experience with PLC programming (Allen-Bradley, Siemens, or similar). Proficiency with Python or JavaScript for automation scripting, data processing, or systems integration. Strong understanding of industrial automation, workflows, and robotics safety standards. Familiarity with cloud-connected systems, edge devices, or IoT platforms. Ability to troubleshoot mechanical, electrical, and software issues in an automated environment. Preferred Skills Experience integrating industrial equipment with cloud services or APIs. Knowledge of industrial communication protocols (OPC-UA, Modbus, MQTT). Background in remote device management, telemetry pipelines, or factory digitalization projects. Exposure to CI/CD workflows, version control (Git), and automation testing. NOTE:We are unable to provide visa sponsorship for this role at this time. No candidates requiring visa sponsorship will be considered. #J-18808-Ljbffr

Yoh is looking for a NPI (New Product Introduction) Test Engineer to come in and join our Biotech/ Pharma client for their state of the art manufacturing building. The ideal individual will come in with Bachelor's degree in Engineering: Mechanical, Electrical or Manufacturing with 7+ years of experience, or MS/ PhD with 5-7 years of experience. Plus, hands on experience with NPI and working knowledge of motor (eg., servo, stepper), PCA, and subassembly testing. This will be a fully onsite opportunity working collaboratively with a team. Industry: Bio Tech / manufacturing Location: Pleasanton CA Responsibilities Interfaces with design engineering and Product Management to coordinate the release of new products. Work with design engineering to provide DFM/A feedback during the design phase. Design and develop manufacturing test fixtures as required. Proactively communicate technical information and status to broad, cross-functional teams Develop and refine acceptance test processes and specifications of complex electromechanical subsystems while working cross functionally with manufacturing, R&D, and contract manufacturers. Required Skills Bachelor's degree in Engineering: Mechanical, Electrical or Manufacturing with 7+ years of experience, or MS/ PhD with 5-7 years of experience. Work history with several successful iterations of Design to Manufacturing transfers. Creation of FMEAs, ECOs and work instructions Working knowledge of motor (eg., servo, stepper), PCA, and subassembly testing Experience with designing and testing PCB Experience working with instrument manufacturing under ISO 9001 or ISO 13485 standards Experience with Altium, Python, and SDK development Experience with Snowflake, Labview, and MES systems a plus #IND-SPG Estimated Min Rate: $60.00 Estimated Max Rate: $68.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit ************************************************ to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: **********************************

Must Have Technical/Functional Skills • Experience: 5+ years of hands-on experience in a lab environment (EMC experience preferred, but general automotive electrical testing is considered). • EMC Technical Skills: Ability to operate EMC test equipment such as Spectrum Analyzers, Signal Generators, and Power Meters. Familiar with vehicle EMC test methodologies (ie. Radiated Emissions, onboard emissions, radiated immunity) • Vehicle Communication Tools: Proficiency with, CANalyzer or similar tools to interface with the vehicles electronic control units (ECUs). • SW Automation: Basic to intermediate ability to write and modify test scripts (ie. Bash, Python or similar) for automation. • Vehicle Expertise: Knowledgeable about basic electric vehicle architecture, comfortable working in and around vehicles, including basic mechanical disassembly to access internal modules, harness modifications, fuse replacements, charging and reviving LV/HV systems • Familiarity with automotive EMC standards: ISO, SAE, UNECE-R10 Roles & Responsibilities Responsible for the hands-on execution of electromagnetic compatibility testing at the vehicle level. This role focuses on the test planning, physical setup, technical bring-up, and systematic testing of vehicles in both internal and external laboratory environments. You will be the technical doer who interfaces with cross functional teams to ensure the vehicle is configured correctly, test infrastructure tools are running, and data is captured accurately to validate performance against internal specifications and global standards. Key Responsibilities 1. Vehicle Preparation and Bring-Up • Communicate well with vehicle program teams to understand timelines and deliverable due dates, draft test plans and arrange internal team schedules/logistics to meet deadlines • Physically prepare prototype vehicles for EMC testing, including the installation of fiber optic converters, current probes, and specialized test harnesses. • Bring up the vehicle systems: Ensure the vehicle is in the correct state for testing (e.g., HV battery engaged, communication buses active). • Collaborate with software teams to flash specific firmware versions and activate test modes required to exercise vehicle features during lab sessions. 2. Test Execution & Scripting • Execute test cases for Radiated/Conducted Emissions and Immunity in accordance with the test plan. • Develop and use scripts (ie. Bash, Python or similar to automate vehicle functions and monitor bus traffic ( CAN/LIN/Ethernet) during testing. • Maintain detailed logs of vehicle configurations, software versions, and hardware revisions for every test run. 3. Lab Operations & Coordination • Perform testing in-house and travel to external labs to support vehicle-level validation. • Work closely with external lab technicians to set up the vehicle on dynamometers or turntables and ensure tests are performed correctly • Coordinate the scheduling and logistics of moving vehicles and equipment to various test facilities.

A technology company in California is seeking a Senior Automation & Controls Engineer to design and deploy advanced robotic automation systems. The ideal candidate will have at least 3 years of experience in automation or robotics engineering and a relevant degree. Responsibilities include implementing automation systems, developing PLC solutions, and collaborating with machine learning teams. Join us to work at the intersection of AI, robotics, and industrial automation. Engage in impactful projects and contribute to scaling intelligent robotic systems globally. #J-18808-Ljbffr

Top 3 Hard Skills Required Years of Experience 1. Minimum 5 years experience with access control module or another component on testing and diagnosis 2. Minimum 5 years experience with Linux 3. Minimum 5 years experience with Vector tool We are seeking a Software Support Engineer with 5 years of experience to join our connectivity team and contribute to the development of stable software solutions. In this role you will gain hands-on experience with Over-The-Air OTA updates vehicle charging and troubleshooting connectivity issues. You will be also working with infotainment software system issues with multiple team for their own domain. Youll also assist in testing some of the key infotainment feature along with development. One another key responsibility is interacting with internal and external customer about issues and debugging them along with development team and provide solutions for field service engineering team. Having work experience on TCU and Infotainmnet would be additional point. Responsibilities: Working with infotainment development team to understand and document issues to help field issues. Documenting steps clearly for knowledge transfer purposes. Assist in performing OTA updates to vehicles and ensure smooth rollouts. Help identify and troubleshoot connectivity issues involving LTE WiFi GPS and networking. Participate in testing connectivity features and document results. Collaborate with the team to develop an understanding of vehicle networks and connectivity platforms. Gain exposure to vehicle communication protocols e.g. CAN and CANoe. Contribute to the maintenance of test infrastructure Document issues clearly and coordinate with developers to resolve them efficiently. Key Skills Knowledge Areas: Basic understanding of LTE WiFi GPS and networking concepts. Familiarity with vehicle communication protocols and embedded systems CAN knowledge is a plus. Interest in Linux systems and embedded software testing. Strong analytical and problem-solving skills. Effective team collaboration and communication skills written and verbal. Qualifications: 5 years of experience in support engineering system testing or a related field. Bachelors degree in Computer Science Electrical Engineering or related field or equivalent experience. Exposure to embedded systems vehicle diagnostics or connectivity technologies is preferred. Eagerness to grow and learn from hands-on work in automotive software testing and debugging

A leading AI-powered firm in Palo Alto, California, seeks a Senior Performance Test Engineer to lead diverse testing strategies for web applications and data platforms. With 5-8 years of performance testing experience, the ideal candidate will design and analyze tests, collaborate with teams, and provide insights. Strong proficiency in tools like JMeter and scripting in languages such as Java or Python is essential. The company offers an innovative environment and values performance excellence. #J-18808-Ljbffr

Shyld AI is building Physical AI systems that operate autonomously in hospitals to reduce infections and improve clinical workflows. Our platform combines sensing, embedded systems, AI, and hardware deployed in real clinical environments. We are looking for a hands-on Hardware Systems & Test Engineer to help us design, test, validate, and deploy reliable hardware systems at scale. This role sits at the intersection of hardware testing, QA, system integration, and field deployment, and will play a critical role in ensuring our devices perform safely and reliably in hospitals. What You'll Do Own hardware testing and system-level validation for Shyld AI devices Define and execute hardware QA processes, including incoming inspection, functional testing, and reliability testing Assist with hardware design and bring-up, including schematic reviews, PCB bring-up, and system integration Work closely with suppliers and contract manufacturers, helping manage technical communication, troubleshooting, and design iterations Organize and maintain the hardware lab, including test fixtures, tools, inventory, and documentation Debug and troubleshoot hardware, firmware, and system-level issues in both lab and field environments Evaluate, prototype, and test new sensors and hardware components Support device installations at customer sites, including setup, validation, and troubleshooting in hospital environments Create clear documentation for test procedures, installation workflows, and field learnings What We're Looking For 3+ years of hands-on experience in hardware testing, system integration, or hardware engineering Strong experience debugging real hardware systems (not just simulations) Comfortable working across hardware, firmware, and software boundaries Experience with lab tools such as oscilloscopes, multimeters, power supplies, logic analyzers Familiarity with embedded systems, sensors, and communication interfaces (I2C, SPI, UART, USB, Ethernet, etc.) Ability to communicate clearly with suppliers and manufacturing partners Comfortable traveling to customer sites and working hands-on in the field Highly organized, detail-oriented, and ownership-driven Nice to Have Experience with medical devices, robotics, or safety-critical systems Exposure to manufacturing, DFM, or production test Experience bringing up new sensors or evaluating hardware components Familiarity with regulated or compliance-driven environments Python or scripting experience for test automation Why Join Shyld AI Work on real hardware deployed in hospitals, not demos High ownership and direct impact on product reliability and customer success Small, fast-moving team with strong technical depth Opportunity to grow into Technical Operations or Hardware Lead roles over time

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role We are seeking a talented Site Reliability Engineer (SRE) to join our SuperComputing team. In this role, you'll ensure the reliability, scalability, and performance of our high-performance computing (HPC) infrastructure, powering cutting-edge AI research. You'll collaborate with cross-functional teams to build and maintain systems that support massive-scale data processing and model training. You\'ll ensure Grok stays reliable for millions while inventing new approaches at the intersection of SRE and cutting-edge AI to help define the future of AI reliability engineering. What You'll Do Design, implement, and maintain robust, scalable infrastructure for supercomputing environments. Monitor and optimize system performance, ensuring high availability and minimal downtime. Develop automation tools and scripts to streamline operations and improve system reliability. Troubleshoot complex issues across distributed systems, networks, and storage solutions. Collaborate with AI researchers and engineers to support compute-intensive workloads. Implement security best practices to protect sensitive data and infrastructure. Contribute to capacity planning and disaster recovery strategies. Participate in an on-call rotation to ensure 24/7 system reliability. Ideal Experiences Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). 3+ years of experience in site reliability engineering, DevOps, or systems engineering. Proficiency in Linux system administration and scripting (e.g., Python, Bash). Experience with containerization (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure). Strong understanding of networking, distributed systems, and storage technologies. Familiarity with HPC environments, GPU clusters, or large-scale data processing. Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. Strong communication skills and a collaborative mindset. Bonus: Experience with Infrastructure as Code (e.g., Terraform, Ansible) or monitoring tools (e.g., Prometheus, Grafana). Location This role is based in the Bay Area (San Francisco and Palo Alto). Candidates are expected to be located near the Bay Area or open to relocation. Tech Stack Languages: Rust, Python, C++, Golang Interview Process Application Review: Submit your CV and a statement of exceptional work. Our team will review your application to assess fit. Phone Interview (45 minutes): A brief conversation with a team member to discuss your background, key accomplishments, and motivation. Main Interview Process 1 Coding assessment: Solve problems in Rust, Python, C++, or Golang 1 Skill Specific Technical Interview: Demonstrate practical skills in a live problem-solving session. 1 SRE/System Case Study: Analyze and solve a complex, real-world system design or operational problem, demonstrating your technical expertise, problem-solving skills, and ability to optimize system reliability and performance. Project Deep-Dive: Present your past exceptional work to a small audience. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice #J-18808-Ljbffr

Performance Modeling Engineer - SystemC/TLM2 Performance Modeling and verification Develop, enhance, and maintain SystemC/TLM2 models for memory controllers, peripherals and interconnects, ensuring they accurately simulate the behavior and performance characteristics of the hardware. Collaborate with cross teams to integrate models into AMD tools used for system-level designs, ensuring proper functionality and performance. Identify bottlenecks and performance issues within models and work to optimize their performance to meet design specifications. Develop and execute testbenches to validate the functionality and correctness of models, as well as participate in system-level testing and debugging. Create clear and comprehensive documentation for models, including usage guidelines and design specifications. Cycle approximate performance models SV/UVM Functional and Performance Verification PCIe/AXI knowledge

We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities Architect, build, and maintain backend services using Python (FastAPI, Flask, Django) Design and implement dynamic and responsive frontends using React.js and/or Vue.js Create and consume RESTful and GraphQL APIs Build reusable components and libraries for frontend use Collaborate across teams to gather requirements, define solutions, and ensure quality Optimize performance and scalability of applications Write unit, integration, and end-to-end tests across the stack Participate in peer code reviews and provide mentorship where appropriate Required Qualifications 5+ years of experience in full stack development M.S. degree in relevant domain required Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django) Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand) Experience with Vue.js or interest in working across multiple frontend frameworks Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design Strong understanding of RESTful services, API security, and performance optimization Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis) Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI) Strong communication skills and a collaborative approach to engineering Preferred Qualifications Familiarity with TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Experience with Docker, Kubernetes, or container orchestration GraphQL and Apollo Client experience Familiarity with microservice architecture Experience working with real-time data (WebSockets, MQTT)

💻 Staff / Principal Software Engineer - AI Platform (LLMs & RAG) 📋 GenAI Healthcare 📍 Hybird in SF 💸 Competitive base + hefty bonus We are working with a pioneering generative AI-native health company revolutionizing hyper-personalized care. Its precision care platform empowers physicians with AI-driven copilots, enabling a new era of whole-person care through generative and predictive intelligence. They tap into cutting-edge resources, have an extensive dataset covering 100s million patients and a network of 1.8 million healthcare professionals across 300,000 facilities. The company brings together top healthcare and technology experts, operators, and leading clinical advisors to drive innovation in precision medicine. We are seeking a Staff / Principal Software Engineer to provide technical leadership in building, scaling, and operating LLM-powered healthcare applications, with a strong emphasis on Retrieval-Augmented Generation (RAG), knowledge systems, and AI-native backend architectures. This role is ideal for a senior technical leader who has designed and productionized LLM systems, worked with clinical, healthcare, or healthtech data, and can operate at both architectural and implementation depth. You will play a critical role in shaping the AI platform that powers clinician-facing copilots and decision-support tools, while ensuring correctness, safety, scalability, and regulatory compliance. Responsibilities: LLM & RAG System Architecture Design, build, and evolve scalable LLM-based systems, including RAG pipelines, prompt orchestration, embedding strategies, vector search, and inference workflows. Architect knowledge retrieval systems that combine structured and unstructured clinical data (guidelines, policies, patient context, claims, formularies, etc.). Healthcare & Clinical AI Applications Develop AI services that operate on healthcare and clinical data while respecting FHIR, HL7, HIPAA, and other regulatory and compliance requirements. Partner closely with clinical, product, and data science teams to translate real-world clinical workflows into reliable AI-driven experiences. AI Platform & Backend Engineering Build and maintain backend services and APIs supporting LLM inference, evaluation, observability, and lifecycle management. Implement fault-tolerant, secure, and high-availability systems capable of operating at healthcare scale. Evaluation, Safety & Quality Lead the design of LLM evaluation frameworks (hallucination detection, grounding, faithfulness, latency, cost, and clinical relevance). Establish best practices for prompt management, model versioning, human-in-the-loop workflows, and continuous improvement using feedback signals. Technical Leadership & Mentorship Act as a technical authority across teams, influencing architecture decisions and long-term platform strategy. Mentor senior and mid-level engineers, set engineering standards, and raise the bar on system design and code quality. Cross-Functional Collaboration Work closely with data engineering, data science, security, and product leadership to align AI capabilities with business and clinical objectives. Minimum Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of professional software engineering experience, with 3+ years working directly with LLM-based systems in production environments. Hands-on experience designing and deploying RAG architectures, including embeddings, vector databases, retrieval strategies, and prompt orchestration. Strong proficiency in Python and experience with modern backend stacks (REST/gRPC APIs, async systems, microservices). Experience working in healthtech, healthcare, life sciences, or clinical data environments, including exposure to regulated data. Proven ability to design systems that are scalable, secure, observable, and maintainable. Preferred Qualifications: Experience integrating LLMs with EHR data, clinical guidelines, prior authorization rules, quality measures, or real-world evidence datasets. Familiarity with LLM evaluation tooling and frameworks (e.g., RAGAS, custom eval pipelines, automated and human feedback loops). Experience with cloud-native architectures (preferably Azure) and containerized deployments. Knowledge of data privacy, governance, and security best practices in healthcare environments. Experience influencing technical direction at Staff or Principal scope across multiple teams or systems. Benefits: Competitive salary and performance-based bonuses. Opportunities for professional growth and leadership in a rapidly scaling AI-native healthcare company. Collaborative, mission-driven work environment with top-tier clinical and technical talent. Opportunity to build cutting-edge AI systems with real-world clinical impact. 📧 Interested in applying? Please click on the ‘Easy Apply' button

Now Hiring: Systems Software Engineer II 📍 Pleasanton, CA | 💰 $108,000 - $135,000 per year 🏢 About the Role We're looking for an experienced Systems Software Engineer II to join Sunbelt Controls, a leading provider of Building Automation System (BAS) solutions across the Western U.S. In this role, you'll develop and program databases, create custom graphics, and integrate control systems for smart buildings. You'll also support project startups, commissioning, and troubleshooting - working closely with project managers and engineers to deliver high-quality, energy-efficient building automation solutions. If you have a passion for technology, problem-solving, and helping create intelligent building systems, this opportunity is for you. ⚙️ What You'll Do Design and program BAS control system databases and graphics for assigned projects. Lead the startup, commissioning, and troubleshooting of control systems. Work with networked systems and diagnose LAN/WAN connectivity issues. Perform pre-functional and functional system testing, including LEED and Title 24 requirements. Manage project documentation, including as-builts and commissioning records. Coordinate with project teams, subcontractors, and clients for smooth execution. Mentor and support junior Systems Software Engineers. 🧠 What We're Looking For 2-5 years of experience in Building Automation Systems or a related field. Associate's degree in a technical field (Bachelor's in Mechanical or Electrical Engineering preferred). Proficiency in MS Office, Windows, and basic TCP/IP networking. Strong organizational skills and the ability to manage multiple priorities. Excellent communication and customer-service skills. Valid California driver's license. 💎 Why You'll Love Working With Us At Sunbelt Controls, we don't just build smart buildings - we build smart careers. As a 100% employee-owned company (ESOP), we offer a supportive, growth-oriented environment where innovation and teamwork thrive. What we offer: Competitive salary: $108K - $135K, based on experience Employee-owned company culture with a family-oriented feel Comprehensive health, dental, and vision coverage Paid time off, holidays, and 401(k)/retirement plan Professional growth, mentorship, and ongoing learning opportunities Veteran-friendly employer & Equal Opportunity workplace 🌍 About Sunbelt Controls Sunbelt Controls is a premier BAS solutions provider serving clients across multiple industries, including data centers, healthcare, education, biotech, and commercial real estate. We specialize in smart building technology, system retrofits, analytics, and energy efficiency - helping clients reduce operational costs and achieve sustainable performance. 👉 Apply today to join a team that's shaping the future of intelligent buildings. #Sunbelt #BuildingAutomation #SystemsEngineer #HVACControls #BASCareers

We're partnering with a fast-growing healthcare AI company building production-grade software that connects advanced machine-learning models directly into real clinical workflows. This role sits at the intersection of full-stack engineering, cloud infrastructure, and data-intensive systems supporting clinician-facing applications. You'll work on systems that handle voice-driven clinical documentation, structured report generation, and backend services that operate at scale in a regulated environment. What You'll Work On: Build and operate full-stack services supporting clinician workflows and AI-powered applications Develop systems that transform voice dictation and model outputs into structured clinical reports Create workflows for drafting, editing, and final clinician sign-off Design and maintain low-latency, scalable backend services in the cloud Work with large volumes of structured and unstructured data, including metadata and model outputs Partner closely with machine-learning and infrastructure teams to bring inference into production Own services end-to-end: design, implementation, deployment, and ongoing reliability What We're Looking For: Demonstrated ability to build and ship full-stack systems in production environments Experience designing, deploying, and operating cloud-based services (AWS preferred) Comfort owning API-driven, data-intensive systems Experience working with distributed systems and production reliability concerns Familiarity with a modern backend stack, such as: AWS (e.g., EC2, S3, ECS/EKS, IAM, monitoring/logging tools) Python-based backend services (e.g., FastAPI or similar frameworks) Relational databases (e.g., PostgreSQL or equivalent) Strong ownership mindset and sound engineering judgment This team is not credential-driven - they value clear evidence of impact, technical depth, and the ability to own complex systems. Nice to Have: Experience with report generation, document workflows, or structured text pipelines Exposure to ML inference pipelines or AI-powered production systems Background working in healthcare or other regulated environments

Shyld AI is building Physical AI systems that operate autonomously in hospitals to reduce infections and improve clinical workflows. Our platform combines sensing, embedded systems, AI, and hardware deployed in real clinical environments. We are looking for a hands-on Hardware Systems & Test Engineer to help us design, test, validate, and deploy reliable hardware systems at scale. This role sits at the intersection of hardware testing, QA, system integration, and field deployment, and will play a critical role in ensuring our devices perform safely and reliably in hospitals. What You'll Do Own hardware testing and system-level validation for Shyld AI devices Define and execute hardware QA processes, including incoming inspection, functional testing, and reliability testing Assist with hardware design and bring-up, including schematic reviews, PCB bring-up, and system integration Work closely with suppliers and contract manufacturers, helping manage technical communication, troubleshooting, and design iterations Organize and maintain the hardware lab, including test fixtures, tools, inventory, and documentation Debug and troubleshoot hardware, firmware, and system-level issues in both lab and field environments Evaluate, prototype, and test new sensors and hardware components Support device installations at customer sites, including setup, validation, and troubleshooting in hospital environments Create clear documentation for test procedures, installation workflows, and field learnings What We're Looking For 3+ years of hands-on experience in hardware testing, system integration, or hardware engineering Strong experience debugging real hardware systems (not just simulations) Comfortable working across hardware, firmware, and software boundaries Experience with lab tools such as oscilloscopes, multimeters, power supplies, logic analyzers Familiarity with embedded systems, sensors, and communication interfaces (I2C, SPI, UART, USB, Ethernet, etc.) Ability to communicate clearly with suppliers and manufacturing partners Comfortable traveling to customer sites and working hands-on in the field Highly organized, detail-oriented, and ownership-driven Nice to Have Experience with medical devices, robotics, or safety-critical systems Exposure to manufacturing, DFM, or production test Experience bringing up new sensors or evaluating hardware components Familiarity with regulated or compliance-driven environments Python or scripting experience for test automation Why Join Shyld AI Work on real hardware deployed in hospitals, not demos High ownership and direct impact on product reliability and customer success Small, fast-moving team with strong technical depth Opportunity to grow into Technical Operations or Hardware Lead roles over time